DocumentCode :
473079
Title :
A Reconfigurable HMM for Activity Recognition
Author :
Hasan, Md Kamrul ; Rubaiyeat, Husne Ara ; Lee, Yong-Koo ; Lee, Sungyoung
Author_Institution :
Dept. of Comput. Eng., Ubiquitous Comput. Lab., Seoul
Volume :
1
fYear :
2008
fDate :
17-20 Feb. 2008
Firstpage :
843
Lastpage :
846
Abstract :
This paper presents a reconfigurable HMM for activity recognition in a home setting where sensors are deployed in the environment. Sensors activated in a sequence are captured and modeled using the HMM like construct. The model traces out the most likely sensor activation sequence responsible for the activity being performed. We recognize several Activities of Daily Living (ADLs) for Ubiquitous Healthcare.
Keywords :
hidden Markov models; wireless sensor networks; activity recognition; daily living activities; reconfigurable hidden Markov models; ubiquitous healthcare; Biomedical computing; Biomedical engineering; Biosensors; Hidden Markov models; Home computing; Image recognition; Medical services; Patient monitoring; Pervasive computing; Ubiquitous computing; Activity Recognition; HMM; Reconfigurable HMM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Technology, 2008. ICACT 2008. 10th International Conference on
Conference_Location :
Gangwon-Do
ISSN :
1738-9445
Print_ISBN :
978-89-5519-136-3
Type :
conf
DOI :
10.1109/ICACT.2008.4493886
Filename :
4493886
Link To Document :
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